A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0

M Raj, S Gupta, V Chamola, A Elhence, T Garg… - Journal of Network and …, 2021 - Elsevier
There is a rapid increase in the adoption of emerging technologies like the Internet of Things
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

A Chlingaryan, S Sukkarieh, B Whelan - Computers and electronics in …, 2018 - Elsevier
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …

Comparison of satellite and UAV-based multispectral imagery for vineyard variability assessment

A Khaliq, L Comba, A Biglia, D Ricauda Aimonino… - Remote Sensing, 2019 - mdpi.com
In agriculture, remotely sensed data play a crucial role in providing valuable information on
crop and soil status to perform effective management. Several spectral indices have proven …

A research road map for responsible use of agricultural nitrogen

M Udvardi, FE Below, MJ Castellano… - … in Sustainable Food …, 2021 - frontiersin.org
Nitrogen (N) is an essential but generally limiting nutrient for biological systems.
Development of the Haber-Bosch industrial process for ammonia synthesis helped to relieve …

Economic comparison of satellite, plane and UAV-acquired NDVI images for site-specific nitrogen application: Observations from Italy

M Sozzi, A Kayad, S Gobbo, A Cogato, L Sartori… - Agronomy, 2021 - mdpi.com
Defining the most profitable remote sensing platforms is a difficult decision-making process,
as it requires agronomic and economic considerations. In this paper, the price and …

Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn

X Wang, Y Miao, R Dong, H Zha, T Xia, Z Chen… - European Journal of …, 2021 - Elsevier
Reliable and efficient in-season nitrogen (N) status diagnosis and recommendation methods
are crucially important for the success of crop precision N management (PNM). The …

Combining UAV and Sentinel-2 satellite multi-spectral images to diagnose crop growth and N status in winter wheat at the county scale

J Jiang, PM Atkinson, C Chen, Q Cao, Y Tian, Y Zhu… - Field Crops …, 2023 - Elsevier
Real-time and non-destructive nitrogen (N) status diagnosis is needed to support in-season
N management decision-making for modern wheat production. For this purpose, satellite …

Enhancing the nitrogen signals of rice canopies across critical growth stages through the integration of textural and spectral information from unmanned aerial vehicle …

H Zheng, J Ma, M Zhou, D Li, X Yao, W Cao, Y Zhu… - Remote Sensing, 2020 - mdpi.com
This paper evaluates the potential of integrating textural and spectral information from
unmanned aerial vehicle (UAV)-based multispectral imagery for improving the quantification …

Remote sensing monitoring of rice and wheat canopy nitrogen: A review

J Zheng, X Song, G Yang, X Du, X Mei, X Yang - Remote Sensing, 2022 - mdpi.com
Nitrogen (N) is one of the most important elements for crop growth and yield formation.
Insufficient or excessive application of N fertilizers can limit crop yield and quality, especially …

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

MRB Júnior, BR de Almeida Moreira… - … and Electronics in …, 2024 - Elsevier
Precision agriculture has emerged as a dominant force in the United States, with
widespread adoption of advanced technologies and decision support systems (DSS) since …